气候变化领域集成服务门户(CCPortal): Review of dust storm detection algorithms for multispectral satellite sensors

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DOI	10.1016/j.atmosres.2020.105398
	Review of dust storm detection algorithms for multispectral satellite sensors
	Li J.; Wong M.S.; Lee K.H.; Nichol J.; Chan P.W.
发表日期	2021
ISSN	0169-8095
卷号	250
英文摘要	Satellite remote sensing has been extensively utilized for monitoring dust storms in space and time. Dust storm detection using satellite observations is important to analyze the dust storm trajectories and sources. This paper reviews the algorithms for dust storm detection used in multispectral satellite sensors, spanning visible to thermal wavelengths. Four categories of dust detection algorithms are summarized, namely, dust spectral index algorithms, temporal anomalous detection algorithms, spatial coherence tested algorithms (physical-based algorithms) and machine learning-based algorithms. Following discussions of dust storm detection algorithms, the dust presence validation methods are also reviewed. Future developments for dust storm detection are focused upon three aspects: detection of dust storms at nighttime; development of more efficient machine learning methods for retrieval; and integrating physical and machine learning methods for satellite images. © 2020 Elsevier B.V.
英文关键词	Dust storm detection; Machine learning; Satellite remote sensing
语种	英语
scopus关键词	Dust; Machine learning; Remote sensing; Satellites; Signal detection; Storms; Anomalous detections; Detection algorithm; Machine learning methods; Satellite observations; Satellite remote sensing; Satellite sensors; Spatial coherence; Thermal wave length; Learning algorithms; algorithm; detection method; dust storm; machine learning; multispectral image; remote sensing; satellite imagery
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/162134
作者单位	Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong; Department of Atmospheric & Environmental Sciences, Gangneung-Wonju National University, South Korea; School of Global Studies, University of Sussex, United Kingdom; The Hong Kong Observatory, Hong Kong
推荐引用方式 GB/T 7714	Li J.,Wong M.S.,Lee K.H.,et al. Review of dust storm detection algorithms for multispectral satellite sensors[J],2021,250.
APA	Li J.,Wong M.S.,Lee K.H.,Nichol J.,&Chan P.W..(2021).Review of dust storm detection algorithms for multispectral satellite sensors.Atmospheric Research,250.
MLA	Li J.,et al."Review of dust storm detection algorithms for multispectral satellite sensors".Atmospheric Research 250(2021).